Exploring and Understanding the Association between Yield and its Components in Sesame using Correlation Analysis

Background: Sesame has the oldest history of over 5000 years of its cultivation as an indigenous oilseed crop of India. Sesame oil has excellent nutritional, medicinal and cooking quality for which it is known as queen of oil seeds. It harbors greater diversity. Hence the present study portrayed to understand the association of different component characters towards yield by studying correlation and path coefficient analysis. This study insights into the relationship between variables and helps the breeder in identifying suitable selection indices. Methods: In this study 40 genotypes were raised in completely randomized block design with three replications in the experimental field of Pandit Jawaharlal Nehru college of Agriculture and Research Institute, Karaikal during summer, 2023. Statistical Package STAR, IRRI were used to analyze the correlation between the traits. Result: Characters such as number of capsules per plant, number of primary branches, thousand seed weight were identified as selection criteria for improving yield in sesame genotypes as these traits recorded positive correlation as well as high positive direct effect with seed yield per plant.